Expand description
§use-ml-label
Label and target metadata primitives for RustUse machine-learning workflows.
§Experimental
use-ml-label is experimental while use-ml remains below 0.3.0.
§Example
use use_ml_label::{MlClassName, MlLabelName, MlTargetKind};
let label = MlLabelName::new("species")?;
let class = MlClassName::new("setosa")?;
let target: MlTargetKind = "multiclass-classification".parse()?;
assert_eq!(label.as_str(), "species");
assert_eq!(class.as_str(), "setosa");
assert_eq!(target, MlTargetKind::MulticlassClassification);§Scope
- Label names, class names, identifiers, and target-kind labels.
- Annotation, source, quality, and cardinality metadata.
- Primitive label metadata only.
§Non-goals
- Data labeling platforms or annotation workflow engines.
- AI-response ratings, human preference labels, RLHF/RLAIF labels, or LLM judge labels.
§License
Licensed under either Apache-2.0 or MIT.